Package: truncAIPW 1.0.1

truncAIPW: Doubly Robust Estimation under Covariate-Induced Dependent Left Truncation

Doubly robust estimation for the mean of an arbitrarily transformed survival time under covariate-induced dependent left truncation and noninformative right censoring. The functions truncAIPW(), truncAIPW_cen1(), and truncAIPW_cen2() compute the doubly robust estimators under the scenario without censoring and the two censoring scenarios, respectively. The package also contains three simulated data sets 'simu', 'simu_c1', and 'simu_c2', which are used to illustrate the usage of the functions in this package. Reference: Wang, Y., Ying, A., Xu, R. (2022) "Doubly robust estimation under covariate-induced dependent left truncation" <arxiv:2208.06836>.

Authors:Yuyao Wang [cre, aut], Andrew Ying [aut], Ronghui Xu [aut]

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# Install 'truncAIPW' in R:
install.packages('truncAIPW', repos = c('https://wangyuyao98.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Datasets:
  • simu - A Simulated Data Set under Left Truncation but No Right Censoring
  • simu_c1 - A Simulated Data Set under Left Truncation and Right Censoring where Censoring can be before Truncation
  • simu_c2 - A Simulated Data Set under Left Truncation and Right Censoring where Censoring is always after Truncation

On CRAN:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.00 score 1 stars 133 downloads 5 exports 7 dependencies

Last updated 1 years agofrom:f782101512. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKOct 29 2024
R-4.5-winOKOct 29 2024
R-4.5-linuxOKOct 29 2024
R-4.4-winOKOct 29 2024
R-4.4-macOKOct 29 2024
R-4.3-winOKOct 29 2024
R-4.3-macOKOct 29 2024

Exports:F_estG_esttruncAIPWtruncAIPW_cen1truncAIPW_cen2

Dependencies:latticeMatrixRcppRcppEigenstatmodsurvivalsurvPen